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- 1Chance Constrained Model Predictive Control
- 1Flat-topped Gaussian Distribution
- 1Gaussian Process
- 1Process Identification
- 1Robust Optimization
- 1SAGD
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Results for "supervisors_tesim:"Huang, Biao (Chemical and Materials Engineering)""
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Spring 2016
In data-driven modelling, model accuracy relies heavily on the data set collected from target process. However, various types of measurement noise exist extensively in industrial processes and the data obtained are usually contaminated. If the influence of measurement noise is neglected, both the...
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Spring 2017
Model Predictive Control (MPC) is widely applied in the process industry nowadays. Chemical processes are corrupted by all kinds of uncertainties, such as measurement noises, disturbances and parameter uncertainties. Without consideration of uncertainties, conventional MPC will cause various...
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